Rendering effective route maps: improving usability through generalization
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Modeling Costs of Turns in Route Planning
Geoinformatica
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Google's PageRank and Beyond: The Science of Search Engine Rankings
Google's PageRank and Beyond: The Science of Search Engine Rankings
Knowledge-based wayfinding maps for small display cartography
Journal of Location Based Services - 4th International Conference on LBS and TeleCartography Hong Kong
Ranking spaces for predicting human movement in an urban environment
International Journal of Geographical Information Science
Focus+Glue+Context: an improved fisheye approach for web map services
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Wayfinding choremes-a language for modeling conceptual route knowledge
Journal of Visual Languages and Computing
The role of angularity in route choice: an analysis of motorcycle courier GPS traces
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
Situated local and global orientation in mobile you-are-here maps
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Automatic generation of destination maps
ACM SIGGRAPH Asia 2010 papers
Road segment selection with strokes and stability
Proceedings of the 1st ACM SIGSPATIAL International Workshop on MapInteraction
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Mobile devices provide an interesting context for map drawing. This paper presents a novel road-selection algorithm based on PageRank, the algorithm famously used by Google to rank web pages by importance. Underlying the PageRank calculation is a probabilistic model of user behavior. We provide suitable generalizations of this model to road networks. Our implementation of the proposed algorithm handles a sizable map in approximately a tenth of a second on a desktop PC. Therefore, our methods should be feasible on modern mobile devices.